learning has caused her to focus even more to teaching strategies and the psychology of motivation.Ms. Monique S. Dufour, Virginia Tech Page 25.470.1 c American Society for Engineering Education, 2012 Digital Engineers: Results of a Survey Study Documenting Digital Media and Device Use Among Freshmen Engineering StudentsAbstractThe current generation of college students has been dubbed Digital Natives, Generation Y and/orthe Net Generation and seemingly possesses distinctive habits as well as perceptions about theuse of digital media and device that set them apart from their predecessors
AC 2012-5201: WORK-IN-PROGRESS: USING MODERN MOBILE TECH-NOLOGIES IN STEM EDUCATIONxue zhangMrs. Debbie Vogel, SprintDr. Mahesh K. Banavar, Arizona State UniversityMiss Shuang HuProf. Andreas S. Spanias, Arizona State University Andreas Spanias is professor in the School of Electrical, Computer, and Energy Engineering at Arizona State University (ASU). He is also the Founder and Director of the SenSIP Center and industry consor- tium. His research interests are in the areas of adaptive signal processing, speech processing, and audio sensing. He and his student team developed the computer simulation software Java-DSP (J-DSP - ISBN 0-9724984-0-0). He is author of two text books: Audio Processing and Coding, by Wiley and
Tsystem was servingg a wirelesss communiccation class with 25 students.3.2 Graaphical Useer Interfacee (GUI)The seccond generaation of the eComLab e iss an advancced system with w a user friendly GU UI [9].The sysstem can be accessed by using anyy regular Weeb browser,, which makkes third partsoftwarres on user machines m unnnecessary. The remotee experimen nt room in ssecond geneerationeComL Lab is shownn in Figure 4. 4 Page 25.1116.6The eCoomLab GUI provides several s
design.ProblemDesigning digital circuits can be an easy, mechanical exercise, once the basics are mastered.After all, it’s just a matter of getting all the 1’s and 0’s in the right place at the right time, andeven if you guess at the answer, you have a 50% chance of being correct, right? That is thereason that automating the design process through hardware description languages and softwarethat reads those languages to configure programmable logic devices has been so successful. Onthe surface, everything is cookbook and easy. Complex systems are assembled by replicatinglots of simple circuits, a process at which digital computers excel. Circuits designed by studentsin the lab for an introductory digital circuits course fall into this category of design. Once
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# open u3 library06 d = u3.U3() # open and report the device07 print d.configU3()['DeviceName']0809 # bitmap representing channels, with FIO0 being the lsb10 d.configIO(FIOAnalog = 0x03)1112 # For single ended channels, match each with NChannel 3113 d.streamConfig( NumChannels = 2, PChannels = [ 0,1],\14 NChannels = [ 31,31], Resolution = 3,\15 SampleFrequency = 2500 )16 missed = 0; dataCount = 017 d.streamStart()18 myfile = open(FILE_NAME,"w")1920 for r in d.streamData():21 if r is not None:22 if dataCount >= MAX_REQUESTS: # The stop condition23 break24 if r['errors'] != 0:25 print "--- Error: %s ; " % r['errors']26
position. The interface with the ELVIS IIboard provides the ability to send control signals to the motor from a computer and record theon-board sensor data using the integrated data acquisition system. (a) (b) (c) (d)Fig. 2. NI ELVIS II platform (a) Prototype board, (b) QNET Mechatronics Sensor Trainer,(c) QNET DC Motor Trainer, (d) DC Motor position control results.M Series NI DAQ cards PCI-6010 and PCI-625153The NI PCI-6010 is low-cost 16-Bit, 200 kS/s, 16 analog input and 2 analog output multifunctionDAQ. The NI PCI-6251 DAQ is available for high speed data acquisition. This card provides 16analog inputs that can be
(2008).4 PC Magazine. Definition of microblog, (n.d.).5 Grosseck, G. To use or not to use web 2.0 in higher education. World Conference on Educational Science 1, 478-482 (2009).6 Grosseck, G. & Holotescu, C. Microblogging multimedia-based teaching methods best practices with Cirip. eu. Procedia-Social and Behavioral Sciences 2, 2151-2155 (2010).7 Badge, J., Johnson, S., Moseley, A. & Cann, A. Observing emerging student networks on a microblogging service. Journal of Online Learning and Teaching 7, online (2011). Page 25.933.118 Borau, K., Ullrich, C., Feng, J. & Shen
prototype along withlessons learned may be passed on to follow on teams in the development of refined prototypes.We highly encourage faculty members to employ this approach in developing new labware andcourseware. All material discussed in this paper is available from the corresponding author.AcknowledgmentsThe authors gratefully acknowledge the Hewlett Foundation for their sponsorship of the EWSI-UW Curriculum Improvement Grants that sponsored this project. References (student co-authors listed in bold)1. “Criteria for Accrediting Engineering Programs – Effective for Evaluations During the 2011-2012 Accreditation Cycle.” ABET, Inc. October 30, 2010.2. S. F. Barrett and C.H.G. Wright, “For Students By Students
-simulations have been integrated in the teaching of courseELEG4223 “Photonic and Electronic Materials and Devices”. The student survey results arepresented in the paper. Students’ responses show that they believe that the VR simulations arevery helpful in increasing their understanding of nanotechnology.1. IntroductionThe fields of nanoscience and nanotechnology have rapidly developed and received enormousamount of attention in recent decades1. The U.S. has long been playing the leadership role inresearch and development of emerging nanotechnologies. To maintain its technological andeconomic leadership, there are emerging needs for U. S educators to change and enhance theinfrastructure for nanotechnology education2. Rapid development in
“marker” at the CM of the linkand plotting its velocity for a motion cycle. Here the specifications are that the driving jointimposes a constant angular velocity of 70 rpm (high crank speed) to the link driving themechanism. Students would be asked to confirm the value of the velocity at, for example, 1s byusing hand calculations. These can be obtained by calculating the velocity of the connectionsbetween the driving crank and the link (329.87 mm/s at 150.37 degrees) and between the linkand the lever (262.83 mm/s at 171.06 degrees – perpendicular to the lever). Then the angularvelocity of the link can be found (0.4161 clockwise) and the velocity of the CM can becalculated (magnitude: 291.53 mm/s). For the kinematic example (Figure 3) students
∙ ∇)𝒖 = ∇ ∙ [−𝑝𝐈 + 𝜇(∇𝒖 + ∇𝒖𝑻 )] (1) where ρ is the density (kg/m3), u is the velocity (m/s), and µ is the viscosity (kg/m∙s). This fluid model was approximated as a steady-state flow with continuity equation ∇ ∙ 𝒖 = 0. No-slip boundary conditions were applied to surfaces except the inlet and outlet of the fluid chamber for the Navier Stokes model (𝒖 = 0). At the inlet of wind tunnel, a constant velocity was used and outlet pressure was set as zero gage pressure ( P=0). The simulation was repeated by varying the inlet velocity in the laminar flow region. (for external flow, Recr=500,000). Third, after COMSOL simulation is successfully done at various inlet velocities and students were assigned to analyze and calculate a
elements or structures are valuable to students in enhancingtheir time management for the enrolled course. A limitation of the reported results is that actualimprovement in time management skill was not measured; rather, the students’ perception ofimprovement was measured. Further study with measures of actual time management skills iswarranted. Further, longitudinal study regarding the persistence of time management skillacquired could elucidate important relationships about transfer of this necessary life skill to othercontexts. Page 25.911.12References1. C.E. Goodson, Miertschin S., Stewart B. “On-line Delivery of Courses: What Components
-levelengineering courses?This paper examines the need and effectiveness of online homework for upper-level engineeringcourses as well as the difficulties in creating such a product. The experiences and outcomes of ane-learning company, Sapling Learning, that developed commercial online homework for thesecond year chemical engineering course, Material and Energy Balances are presented.Because online homework in the engineering fields is a rarity, some background is required tounderstand how Sapling Learning began developing online chemical engineering homework. In2008, Sapling Learning began developing textbook-independent homework and sold the productdirectly to instructors and universities to be paired with any textbook. “Technology T.A.’s” atSapling
petroleum engineering in the United States.At Missouri University of Science and Technology (Missouri S&T), Structural Geology is arequired course for all undergraduate of these undergraduate degree programs and commonlyseveral civil engineers elect to take the course as well. That is, scientists(geologists /geophysicists) and the engineers enroll in the same course as early exposure to collaborationamong the different disciplines will better prepare them to participate in multidisciplinary teams– now commonplace in the work force (e.g., energy and materials sectors).The course is typically taken in the first semester of the junior year, but many sophomores andseniors commonly enroll in the course as well. Students are expected to have already
. McAfee, Operation Aurora, http://www.mcafee.com/us/threat_center/operation_aurora.html, last accessed 6 January 2011.3. Bill to require private sector reporting of cyber attacks, http://www.federalnewsradio.com/index.php?nid=150&sid=2123868, last accessed 6 January 2011.4. BBC News, Cyber attacks and terrorism head threats facing UK, BBC News, http://www.bbc.co.uk/news/uk- 11562969, last accessed 6 January 2011.5. J. Bliss, U.S. Nuclear Plants Vulnerable to Cyber Attacks, Analysts Say, http://www.bloomberg.com/news/2010-11-17/u-s-nuclear-plants-vulnerable-to-cyber-attacks-analysts- say.html, last accessed 6 January 2011.6. S. Gorman and S. Fidler, Cyber Attacks Test Pentagon, Allies and Foes, http
Instruction." Computers & Education 55(2): 733-741.8 Ariadurai, S. A. & Manohanthan, R. (2008). "Instructional Strategies in Teaching Engineering at a Distance: Faculty Perspective." International Review of Research in Open and Page 25.630.16 Distance Learning 9(2): 1-11 MURL: E-Journal Full Text.9 Davis, F. D. (1989). "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology." MIS Quarterly 13(3): 319-340.10 Mitra, A., Hazen, M.D., LaFrance, B., & Rogan, R.G. (1999). "Faculty Use and Non-Use of Electronic Mail: Attitudes, Expectations and
develop and implement meaningful DSP systems. This course represents a goodexample for integrating the knowledge gained in two major areas of electrical engineering,digital signal processing and digital hardware design.References [1] S L Wood and S C Kemnitzer, “First Year DSP Education in the Context of ECE Curriculum Reform,” in Proc. IEEE 13th DSP and 5th SPE Workshop, Marco Island, FL, 4-7 Jan 2009, pp. 425 - 429. [2] “MATLAB/SIMULINK” version 7. (R2008b). Natick, Massachusetts, The MathWorks Inc., 2008. [3] “ISE Design Suite and System Generator,” Version 11.1, Xilinx Inc., 2009. [4] “QuestaSim Reference Manual,” Version 6.3C, Mentor Graphics Corporation, 2009. [5] Keshab K. Parhi, “VLSI Digital Signal Processing Systems
, (V)Action/Solution:Above equations (V) and (II) are used to calculate the outlet velocity and the volumetric flowrate. Following Table 2 shows the results and the comparative study of analytical vs. CFDsimulations for velocity and flow rate.Table 2 Comparative Results: Analytical vs. CFD for fluid flow in nozzle 2D Comparative results Simulation simulation Nozzle Dia. Volumetric Flow Outlet Velocity (m/s) % Error Model D = 75 mm (m3/s) d = 25 mm Pressure
the end of their second semester, could be a reason for thisdifference.Table 1. Student survey responses regarding note taking.Questions (15 Respondents) N R S QO VOI take notes in DyKnow by writing with the stylus. 4 9 1 1 0I take notes on my computer by writing with the stylus in a 7 2 2 1 3program other than DyKnow (e.g., One Note).I take notes in DyKnow by typing. 2 4 6 1 2I take notes on my computer by typing in a program other 4 3 6 1 1than DyKnow (e.g., Microsoft Word).I take notes with pen and paper. 6 0 1 4 4N = Never, R = Rarely
: Page 25.641.7 cp d& d& ≥ 0 Fnormal = A kp d + A (21) & d& < 0 s p cp d d& = vn i ni (22) Contact surface r Contact n point
gotten right or wrong until much later.”Based on the above observations, we are planning to develop and assess the effectiveness ofthese unlimited assessment quizzes for all topics of a typical course in Numerical Methods.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant Nos0717624, 0836981, 0836916, 0836805, and the Research for Undergraduates Program in theUniversity of South Florida (USF) College of Engineering. Any opinions, findings, andconclusions or recommendations expressed in this material are those of the author(s) and do notnecessarily reflect the views of the National Science Foundation
Conference, Portland, OR, Jun.8–10, 2005. 5. V.J. Harward, J.A. del Alamo, V.S. Choudhary, K. deLong, J.L. Hardison, S.R. Lerman, J. Northridge, D. Talavera, C. Varadharajan, S. Wang, K. Yehia, D. Zych., “ iLab: A scalable architecture for sharing online experiments.”, Gainesville, Fl, October 2004. ICEE. 6. O.B. Akinwale, K.P. Ayodele, A.M. Jubril, L.O. Kehinde, O. Osasona, O. Akinwunmi, A.T. Asiimwe, C. Mwikirize, P.I. Musasizi, S.T. Togboa, A. Katumba, J.Butime, J.P. Nombo, M.M. Baraka, S. Teyana, M.J. Alfred, K.M. Musa, "Online Laboratories: Enhancing the Quality of Higher Education in Africa", in Proc., Conference of Rectors, Vice-Chancellors & Presidents of African Universities (COREViP), South
typically have highunderlying ink density and students frequently cross-out strokes with a single straight line.Strokes are first processed by the cross-out recognizer. Strokes not positively identified as across-out are then classified using our extension of Peterson et al.’s method.3.3 Stroke GroupingWe have found that there are two types of errors that can be made in classifying strokes: actualerrors and contextual errors. Actual errors are straightforward, incorrect classifications, such aspart of a beam in a free body diagram that was mislabeled as an equation stroke. Contextualerrors are more subtle and depend on the situation in which a stroke appears. Consider the letter“F”, which appears frequently in both free body diagrams and equations
, June 1997. Paper 1220-06. [3] J. H. McClellan, C. S. Burrus, A. V. Oppenheim, T. W. Parks, R. W. Schafer, and S. W. Schuessler, Computer-Based Exercises for Signal Processing Using M ATLAB 5. M ATLAB Curriculum Series, Prentice Hall, 1998. [4] G. W. P. York, C. H. G. Wright, M. G. Morrow, and T. B. Welch, “Teaching real-time sonar with the C6711 DSK and MATLAB,” ASEE Comput. Educ. J., pp. 79–87, July–September 2002. Page 25.1098.8 [5] T. B. Welch, C. H. G. Wright, and M. G. Morrow, “Experiences in offering a DSP-based communi- cation laboratory,” in Proceedings of the 11th IEEE Digital Signal Processing Workshop and the 3rd
Conference and Exposition, Salt Lake City, UT, June 20-23, 2004. 3. Rawat, K. S.; Riddick, G. B.; Moore, L. J. Work in Progress – Integrating Mobile Tablet-PC Technology and Classroom Management Software in Undergraduate Electronic Engineering Technology Courses. 38th ASEE/IEEE Frontiers in Education Conference, 2008. 4. Enriquez, A. Developing an Interactive Learning Network Using Tablet PCs in Sophomore-Level Engineering Courses. Proceedings of the 114th American Society for Engineering Education (ASEE) Annual Conference and Exposition, Honolulu, HI, June 24-27, 2007. 5. Huettel, L. G.; Forbes, J.; Fanzoni, L.; Malkin, R.; Nadeau, J.; Ybarra, G. Using Tablet PCs to Enhance Engineering and Computer Science Education. In The Impact
smart phones) have been introduced with significantlyreduced computational capabilities. This is only natural since these mobile devices where notdesigned to perform intense numerical calculations. However, they have become as common asslide rules in the 1960’s or hand calculators for the last four decades. There is now hardly anengineer without a smart phone. The question becomes, why is engineering education not usingsmart phones and tables (mobile devices) for complex engineering analysis? Two main concernscome to mind immediately, their screen sizes are small when compared to traditional desktop orlaptop computers, and they are relatively slow (but still faster than desktop computers in the1980’s). While the screen size can be a problem
. Bransford, N. Vye, and H. Bateman. Creating High-Quality Learning Environments: Guidelines from Research on How People Learn. In: The Knowledge Economy and Postsecondary Education: Report of a Workshop. P. Albjerg Graham and N. G. Stacey (Eds.). National Academy Press. Washington DC (2002).3. J. V. Gutiérrez Cuba, A. López-Malo, and E. Palou. Using Tablet PCs and Associated Technologies To Reveal Undergraduate and Graduate Student Thinking. Proceedings of the ASEE Annual Conference. Vancouver, BC. Canada (2011).4. F. Kowalski, S. Kowalski, and E. Hoover. Using InkSurvey: A Free Web-Based Tool for Open-Ended Questioning to Promote Active Learning and Real-Time Formative Assessment of Tablet PC-Equipped Engineering Students
conference for the learning sciences- Volume 3 (p. 51–53). International Society of the Learning Sciences. Retrieved from http://portal.acm.org/citation.cfm?id=1599936.1599960.8. Knowles, M. (1996). Adult Learning. In Robert L. Craig (Ed.), The ASTD Training and Development Handbook (pp. 253-264). NY: McGraw-Hill.9. Knowles, Malcolm S., Elwood F. Holton III, and Richard A. Swanson (1998). The Adult Learner. Houston: Gulf Publishing.10. Kobulnicky, P., Ruby, J. A. (2002). EDUCAUSE Quarterly. Third Annual EDUCAUSE Survey identifies Current IT Issues by Paul Kobulnicky, Julia A. Rudy and the EDUCAUSE Current Issues Committee, 252.11. Kolb, D. A. (1984). Experiential learning: Experience as the source of learning and development. New
. Page 25.669.12References1. National Survey of Student Engagement (NSSE), Annual Results, 2011.2. S. Wilson, D. George, J. Bruni, and M. Cambron, “Algorithm for Defining Student Engagement,” Proceedings of the ASEE Annual Conference and Exposition, June 2008, Pittsburg, PA.3. K. A. Rocca, “Student Participation in the College Classroom: An Extended Multidisciplinary Literature Review,” Communication Education, 59, 2010.4. K. McDonald, “Increasing the Class Participation Experience for Engineers,” Proceedings of the ASEE Annual Conference and Exposition, June 2006, Chicago, IL.5. J. Hartman, “Does Class Size Matter? Reflections on Teaching Engineering Economy to Small and Large Classes,” Proceedings of the ASEE Annual